Digital Commons Network^™

Nonlinear Dynamics Of Dust Acoustic Waves In A Dusty Plasma In Presence Of Two Opposite Polarity Dust Species, Omer A. Magzuob, Nauman Raza, Muntaha Khalid, Evren Hincal, Kottakkaran Sooppy Nisar

University of Bisha Journal for Basic and Applied Sciences

In a non-linear dynamical structure, this research presents a new analytical framework for examining the Zakharov-Kuznetsov equation in the realm of dusty ion-acoustic waves. Our objective is to produce a wide range of optical solitons at a reduced cost and time scale for evaluation by employing specific integration techniques. To achieve this, we are using two analytical approaches: the unified Ricatti equation procedure and the new extended auxiliary equation strategy. These methods help us to discover a variety of exact solutions for the governing model, including solitary, rational, elliptic functions, and periodic waves. Using numerical simulations and graphical representations, we …

Adaptive Ensemble Approaches For Face Mask Detection Using Transfer Learning Model, Faisal Alshanketi

University of Bisha Journal for Basic and Applied Sciences

Amidst the Covid-19 pandemic, wearing a mask has become mandatory and remains crucial in the ongoing pandemic. In certain situations and conditions, masks may be required periodically. However, manually monitoring large crowds of people to ensure they are wearing masks in public places or events can be an arduous task that is both time-consuming and difficult to manage. One way to address the challenge of manually monitoring mask-wearing in public places is to adopt machine learning (ML) methods and ICT-based surveillance mechanisms, thereby reducing the need for large numbers of personnel. While previous studies have proposed various machine learning models …

Radio Frequency (Rf) Based Smart Communication System For Autonomous Vehicles (Av) Covering Both Vehicle-To-Vehicle (V2v) And Vehicle-To-Traffic Light (V2tl), Rayan Hamza Alsisi, H. A. Wajid, M. O. Alrafaee, O. A. Alhaboob, A. Yousef

University of Bisha Journal for Basic and Applied Sciences

A vehicle that reaches a destination by self-navigation famously known as an autonomous or self-driving vehicle. In this work, we present an improved or smart communication system for autonomous vehicles that will enable them to reach distention by communicating a) with other vehicles (known as vehicle-to-vehicle V2V) and b) with the infrastructure of transportation system specifically traffic lights (known as vehicle to traffic lights V2TL). The proposed communication system is designed using several sensors, transmitters, and receivers to monitor the surroundings for efficient communication either V2V or V2TL. Finally, we show with experimented data that the proposed communication system offers …

Is Italy On Track? A Data-Driven Forecast For Road Transport Decarbonisation By 2030, Monica Bonacina, Romolo Consigna Tokong

Fondazione Eni Enrico Mattei Working Papers

The European Union’s decarbonisation strategy necessitates profound shifts across all sectors, with road transport presenting a particularly formidable challenge due to its sustained emissions growth since 1990. Given that Italy’s road transport sector is the third-largest consumer of fossil fuels in Europe, its role is pivotal in achieving these collective climate objectives. This study employs grey forecasting models to assess the projected contribution of alternative fuels – specifically biodiesel, bio-gasoline, biomethane, and electricity – to Italy’s 2030 decarbonisation pathway. The results suggest that consumption of these energy carriers will reach around 5 Mtoe (million tons of oil equivalent), representing a …

The Student Movement Volume 110 Issue 1: Andrews Assembles For A New School Year, Megan Constantine, Kyle Simpson, Melanie Webb, Audrey Lim, Lia Glass, Corinna Bevier, Isa Demoraes, Nicholas Gunn, Reagan Westerman, Aiko J. Ayala Rios, Samantha Woolford-Hunt, Anna Rybachek, Maya Thomas, Andrew Francis

The Student Movement V. 110 (2025-2026)

HUMANS

Human Writer Introductions, Humans Writers

Becoming Disciple Makers: A Look Into Chaplain Fetrick's Vision for Andrews Unviersity, Megan Constantine

New at AU: Professor Carrie Hess, Kyle Simpson

ARTS & ENTERTAINMENT

Arts & Entertainment Writer Introductions, Arts & Entertainment Writers

Cut for Time: Recapping the 77th Emmy Awards, Melanie Webb

Team Conrad v. Team Jeremiah: The History and Appeal of Love Triangles in Media, Audrey Lim

The Summer of Superheroes, Lia Glass

Why I Hate the Trailer for the New 'Wutherinng Heights', Corinna Bevier

NEWS

News Writer Introduction, News Writers

Almost Anything Goes: A Night Lit in Neon, Isa DeMoraes …

Doc 2025-11 (Amended) The Faculty Hearing Committee On Grievances Bylaws And Operating Procedures, University Of Dayton. Executive Committee Of The Academic Senate

Senate Documents

No abstract provided.

Comparison Of Pcr-Based Methods For The Detection Of Canned Tuna Species, Chloe P. Castanon, Denise Hernandez, Akshay N. Khetrapal, Rosalee S. Hellberg

Food Science Faculty Articles and Research

Canned tuna is susceptible to mislabeling due to its high consumer demand, complex global supply chains, and range of prices. DNA barcoding of a short fragment of the mitochondrial control region (CR), termed the CR mini-barcode, has been established as an effective method for tuna species identification. However, the high level of DNA degradation in canned tuna products reduces the effectiveness of this method. Therefore, this study aimed to compare CR mini-barcoding to targeted (i.e., real-time or multiplex) PCR-based methods to determine the most effective approach for canned tuna species identification. DNA was extracted in duplicate from 24 canned tuna …

‘High-Stakes’ Security: Current And Emerging Trends In Casino Gaming Cybersecurity, Ernest Adams, Jared Bischoff, Mehmet Erdem

UNLV Gaming Research & Review Journal

Alongside the digital evolution of the casino gaming industry, cybercrimes have emerged as a prominent threat to gaming businesses across the entire world. With the growing frequency of high-profile cyberattacks against major casino resorts and casino operators, the gaming industry has responded by implementing innovative cybersecurity strategies and resources to prevent and mitigate potential future assaults. This paper aims to examine cyber events in the gaming industry, how the industry has responded by enhancing its security posture, and what experts in the industry prioritize as security topics for future research. To accomplish this, a literature review was first performed to …

Ud In The News Sept. 13-19, University Of Dayton

News Releases

Conversation and National Desk stories featuring UD expertise were picked up widely nationwide. In a piece for Association to Advance Collegiate Schools of Business, Vince Lewis wrote about giving students opportunities to launch startups.

Symbiotic Aspergillus Terreus Alleviates Drought And Waterlogged Stress In Zea Mays L., Hazrat Ali, Fayaz Asad, Naveen Dilawar, Vasila Sharipova, Imtiaz Ahmad, Abida Zeb

Turkish Journal of Botany

The interaction concerning rhizospheric fungi and plants is essential for enhancing plant resilience in the face of abiotic stress conditions. This study investigated the effects of the rhizospheric fungus Aspergillus terreus on maize (Zea mays L.) growth under both drought and waterlogging conditions. Our findings confirmed that inoculation with A. terreus mitigated the adverse effects of drought and waterlogging conditions on maize growth. Plants treated with Aspergillus terreus (A. terreus) exhibited enhanced root and shoot length, fresh and dry weight as well as enhanced chlorophyll content in plants compared to control, under stress-related conditions. Compared to the control group, A. …

Advanced Deep Learning Approaches For The Accurate Classification Of Phallaceae Fungi With Explainable Ai, Eda Kumru, Fati̇h Eki̇nci̇, Koray Açici, Ömer Burak Altindal, Mehmet Serdar Güzel, Ilgaz Akata

Turkish Journal of Botany

In this study, deep learning (DL)-based models were developed for the classification of 5 fungal species from the Phallaceae family (Clathrus ruber, Colus hirudinosus, Mutinus caninus, Phallus impudicus, and Pseudocolus fusiformis). ConvNeXT achieved the highest performance with 98% accuracy, 98% precision, 98% recall, and 98% F1-score. EfficientNetB4 and Xception also performed well with 96% accuracy. In contrast, lighter models such as MobileNetV2 and MixNet S showed significantly lower accuracy (84% and 80%, respectively). Among the explainable artificial intelligence (XAI) techniques, gradient-weighted class activation mapping (Grad-CAM) and Integrated Gradients showed that high-accuracy models focus more effectively on biologically meaningful regions. In …

Erratum To “Anatomical And Palynological Studies On Turkish Primula Taxa (Primulaceae) And Their Taxonomic And Phylogenetic Significance [Turkish Journal Of Botany 49 (4) 2025 325-348 ] ”, Deni̇z Ulukuş, Esengül Özkaymakoğlu, Rebecca Stubbs, Hüseyi̇n Baykal, Kami̇l Coşkunçelebi̇, Osman Tugay, Barbara Keller, Elena Conti, Ferhat Celep

Turkish Journal of Botany

This erratum addresses an error concerning Figure 5 in the original published version of this article. During the typesetting process, Figure 5 was partially omitted, resulting in an incomplete figure being published.To correct this oversight and ensure the accuracy of the scholarly record, the complete Figure 5 is provided below for reference.

Link to the original article: https://doi.org/10.55730/1300-008X.2866

Board Of Trustees Plumbers And Pipefitters Local V. Jones Lang Lasalle Americas Inc

2025 Decisions

USDC for the District of Delaware

Blue-Shifted Ancyromonad Channelrhodopsins For Multiplex Optogenetics, Elena G Govorunova, Oleg A Sineshchekov, Hai Li, Yueyang Gou, Hongmei Chen, Shuyuan Yang, Yumei Wang, Stephen Mitchell, Alyssa Palmateer, Leonid S Brown, François St-Pierre, Mingshan Xue, John L Spudich

Duncan NRI Faculty and Staff Publications

Light-gated ion channels from protists (channelrhodopsins or ChRs) are optogenetic tools widely used for controlling neurons and cardiomyocytes. Multiplex optogenetic applications require spectrally separated molecules, which are difficult to engineer without disrupting channel function. Scanning numerous sequence databases, we identified three naturally blue-shifted ChRs from ancyromonads. They form a separate branch on the phylogenetic tree and contain residue motifs characteristic of anion ChRs (ACRs). However, only two conduct chloride, whereas the closely related Nutomonas longa homolog generates inward cation currents in mammalian cells under physiological conditions, significantly exceeding those by previously known tools with similar spectral maxima (peak absorption at …

Next-Generation Biotechnology And Breeding Strategies For The Development Of Biotic Stress-Resistant Sugar Beet, Songül Gürel, Mehmet Cengi̇z Baloğlu, Pinar Baloğlu, Mehmet Kolçak, Ferhat Ulu, Ömer Can Ünüvar, Mehmet Örgeç, Özge Kaya, Ramazan Polat, Cemi̇le Köseoğlu, Yasemi̇n Çeli̇k Altunoğlu, Hati̇ce Korkmaz Güvenmez, Ekrem Gürel

Turkish Journal of Botany

Sugar beet is a high-sucrose crop primarily used for sugar production, and it is now gaining attention as a promising source for bioethanol production and cattle feed. This crop is also utilized for the extraction of pectin and the production of molasses. Despite its utilization across a wide range of industries, abiotic and biotic stress factors greatly reduce the productivity of the cash crop sugar beet. In this paper, we focus on the development of biotic stress-resistant sugar beet plants through various classical and biotechnological applications. In recent decades, omics technologies, next-generation sequencing, gene editing/silencing, and overexpression techniques have been …

Agenda (9-19-2025), California State University, San Bernardino - Associated Students, Incorporated

Associated Students, Incorporated records

No abstract provided.

A Computational Framework For Multi-Scale Analysis Of Mouse Cerebral Blood Flow Regulation, Hadi Esfandi

Electronic Theses and Dissertations 2020 - Present

Cerebral hemodynamic imaging is increasingly used as a non-invasive technique to study brain function and dysfunction in both research and clinical settings. Recent advances in imaging technologies have enabled high-speed, high-resolution, whole-brain measurements of blood flow and oxygenation. Improving the interpretation of these cerebral hemodynamic signals through a mechanistic understanding of their cellular drivers would enable more accurate characterization of brain function and pathology. However, no existing biophysical model fully captures the fine-grained dynamics observed in these signals. This dissertation introduces a biophysically grounded computational framework for multi-scale analysis of the mouse cerebral blood flow regulatory system, which captures mechanistic …

Community Survey Report: The Rebuild Survey Conducted In Response To The January 2025 Palisades Fire And Eaton Fire In Los Angeles County, Andrew J. Whelton, Cristiane Ferrarezzi, Lauryn Spearing, Anna Hoover, Mónica Palomo, Caitlin Proctor, Jianxi Su, Joseph Toland

Resilience to Emergencies and Disasters

No abstract provided.

Dilute Magnetic Impurity-Induced Effective Phonon Magnetic Moment In Fe-Doped Monolayer Mos2, Hussam Mustafa, Gaihua Ye, Cynthia Nnokwe, Mengqi Fang, Mohamed Kandil, Abdullah Al-Mahboob, Kai Wu, Andrew James Stollenwerk, Timothy E. Kidd, Paul M. Shand, Jerzy T. Sadowski, Eui Hyeok Yang, Yinong Zhou, Rui He, Wencan Jin

Faculty Publications

Realization of large effective phonon magnetic moment in monolayer MoS2 has established an important route for exploring intriguing magnetic phenomena in a nonmagnetic material. The sizable coupling between the orbital transition and the circularly polarized phonon results in the large effective phonon magnetic moment. In this work, using magneto-Raman spectroscopy, we investigate substitutional doping of magnetic atoms as a tuning knob of the electronic and phononic properties of MoS2. We show that Fe-doping polarizes the spin of the conduction bands and introduces a localized Fe band underneath the conduction band. As a result, an additional orbital transition between the Mo …

Ground-Based Modeling Of Deep-Space Risks To The Spleen And Intestine In Mice, Edith Nathalie Pineda Sotomayor

Theses and Dissertations

Deep-space missions, such as those planned for the cis-lunar space and Mars, pose unique challenges to astronaut health due to prolonged microgravity (MG) exposure and low-dose chronic irradiation (CIR). Understanding the impact of these stressors on secondary lymphoid tissues, such as the spleen and intestine, is crucial for ensuring crewmembers' well-being, given the impracticality of conducting this research with human samples. Using a ground-based facility, we exposed C57BL/6 female and male mice to CIR (1.74 Gy at a dose rate of 0.0029 Gy/h) and/or simulated MG (SMG) via hind limb unloading (HLU) for one month. Spleen and intestinal tissues were …

Impact Of Restorative Yoga On Mental Health And Cognitive Function In Doctoral Physical Therapy Students, Carly Ritter

Doctorate in Kinesiology

Doctor of Physical Therapy (DPT) students experience high academic stress, often impacting mental health. Restorative yoga may reduce stress, regulate the Hypothalamic-Pituitary-Adrenal (HPA) axis response, and support cognitive function. This study examined its effects on mental health and cognitive function in DPT students. Forty-four students were randomly assigned to restorative yoga or control groups in a double-blind design. Participants completed the Stroop Test, Rey Auditory Verbal Learning Test (RAVLT), Depression Anxiety Stress Scale (DASS-8), and a demographic survey at baseline and after 6 weeks. The yoga group practiced twice weekly; controls maintained regular activity, excluding yoga. ANOVA and correlation analyses …

Analysis Of Modifications To An Outdoor Field-Scale Rotating Algal Biofilm Reactor With A Focus On Biomass Productivity And Power Usage, Davis R. Haag, Phillip E. Heck, Ronald C. Sims

Biological Engineering Student Research

Filtrate from dewatering anaerobically digested biosolids is a side-stream of wastewater treatment that contains high concentrations of nitrogen and phosphorus compounds that can serve as nutrients for cultivating microalgae biomass as biofilms for bioproduct production at Water Resource Recovery Facilities (WRRFs). One system used to cultivate attached microalgae biofilms is the rotating algal biofilm reactor (RABR). A pilot RABR with 72 m² growth surface area, 11.5 m² footprint area, and a liquid volume of 11,500 L was operated in an outdoor environment at the largest WRRF in Utah, U.S.A, the Central Valley Water Reclamation Facility (CVWRF). The configuration …

Figure Data For "Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts", Carlos Meija, Devin Rappleye

ScholarsArchive Data

This data set provide machine readable .csv files for the figures in the publication entitled "Investigation of a stable and saturated reference electrode using metal chlorides and oxides in eutectic LiCl-KCl molten salts" in Nuclear Engineering and Technology (Volume 58, Issue 1, January 2026, 103875).

Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin

Mechanical Engineering Faculty Publications

The global reliance on fossil fuels and natural gas has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production, such as wind and hydropower. Of these current energy generation types, there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …

Identification Of Critical Brain Regions For Autism Diagnosis From Fmri Data Using Explainable Ai: An Observational Analysis Of The Abide Dataset, Suryansh Vidya, Kush Gupta, Amir Aly, Andy Wills, Emmanuel Ifeachor, Rohit Shankar

School of Engineering, Computing and Mathematics

BACKGROUND: Diagnosis of autism spectrum disorder (ASD) significantly improves quality of life, yet current diagnostic practices rely on subjective behavioural assessments. While machine learning models using functional Magnetic Resonance Imaging (fMRI) show promise for objective diagnosis, existing approaches have critical limitations. High-accuracy models often neglect interpretability, increasing clinical distrust, while interpretable approaches frequently suffer from low accuracy and lack neuroscientific validation of identified biomarkers. Furthermore, no studies have systematically benchmarked which interpretability methods are most effective for fMRI data, hindering the translation of Artificial intelligence (AI) findings into clinical practice.

METHODS: In this observational study, we used the Autism Brain …

An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …

Strategies Human Resource Leaders Use To Increase Employee Retention In The Automotive Industry, Kendra Williams

Walden Dissertations and Doctoral Studies

Excess turnover of personnel threatens organizational viability and long-term success. Human resource leaders need to develop strategies to increase employee retention. Grounded in Herzberg’s two-factor and Maslow’s hierarchy of needs theories, the purpose of this qualitative pragmatic inquiry was to explore and identify successful employee retention strategies employed by human resource leaders to mitigate employee turnover. Data were collected from human resources managers using semistructured interviews and public data from companies’ websites. Through thematic analysis, four themes emerged: (a) job assignment, (b) employee feedback, (c) employee benefits, and (d) training, growth, and development. A key recommendation is for human resource …

M6a Rna Methylation In Psychiatric Disorders: An Emerging Epitranscriptomic Axis, Ambrose Loc Ngo, Linda Nguyen, Niki Gharavi Alkhansari, Huiping Zhang

Student Publications

N⁶-methyladenosine (m⁶A) is the most prevalent internal modification in eukaryotic messenger RNA (mRNA) and plays a vital role in post-transcriptional gene regulation. In recent years, m⁶A has emerged as a pivotal epitranscriptomic signal involved in neural development, synaptic remodeling, and the molecular pathophysiology of neuropsychiatric disorders. In this review, we summarize the mechanisms underlying the deposition, removal, and recognition of m⁶A by dedicated methyltransferases, demethylases, and RNA-binding proteins. We further explore how these dynamic modifications influence neuronal differentiation and memory formation. Recent studies have linked aberrant m⁶A regulation to psychiatric …

An Improved Method To Calculate Stripping Inflection Point (Sip) And Its Application In Evaluating Moisture Susceptibility Of Asphalt Mixtures, Ping Jiang, Bo Lin, Yizhuang David Wang, Jenny Liu, Seyed Alireza Ghanoon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Accurately assessing asphalt mixtures' moisture susceptibility is critical because moisture damage can significantly reduce pavement durability, leading to premature failure and structural integrity of the pavement. The stripping inflection point (SIP), a moisture susceptibility index derived from the Hamburg Wheel Track (HWT) test, has practical merits in evaluating moisture susceptibility. However, current methods for determining the SIP showed low accuracy and high variability due to poor regression quality. Hence, this study aims to propose an improved method for calculating the SIP by modifying existing approaches to better capture the characteristics of rutting curves. Typical asphalt mixtures were used to conduct …

Can Predictive And Functional Methods Locate The Dysplastic Hip Joint Center?, Michael Harris, Emma C. Behrman, Keith R. Lohse, Molly C. Shepherd, Bruce A. Macwilliams, Erin M. Mannen

2020-Current year OA Pubs

BACKGROUND: Properly characterizing biomechanics in populations with known hip deformities, such as developmental dysplasia of the hip (DDH), requires accurately identifying the hip joint center (HJC). Many studies have assessed the accuracy or repeatability of predictive and functional methods to locate the HJC in normally shaped hips, but not for hips with DDH.

RESEARCH QUESTION: For patients with DDH, which of three common functional and four common predictive HJC methods is most accurate compared to a magnetic-resonance-imaging-based anatomic method?

METHODS: HJC method accuracy was calculated as the resultant vector distance from the anatomic HJCs. Bias was calculated as distance errors …